Data Engineer (all genders)
Berlin, Germany
Babbel
Babbel is the effective way to learn a new language. Our system uses scientifically proven methods to improve your grammar, vocabulary, and pronunciation.We are looking for a Data Engineer (full-time) to join our Dynamic Content team in Berlin.
The Dynamic Content Team at Babbel is on a mission to revolutionize the learner experience through world-class engineering, seamless content delivery, and cutting-edge AI. We believe in experimentation and continuous improvement, empowering our users with intelligent, personalized, and engaging language learning journeys.
As a Data Engineer in our Dynamic Content Team, you’ll play a key role in enhancing how learners interact with the Babbel Learning Experience. You’ll architect, build, and optimize smart products that power an experience that adapts to the individual needs of our learners. You’ll collaborate with product managers, data scientists, and engineers to deliver robust, scalable, and innovative solutions.
You will:
- Engineer robust data pipelines using Python, Databricks, and Airflow to support dynamic content delivery and personalization at scale
- Integrate and operationalize AI capabilities (with OpenAI and other LLMs), enabling smarter content recommendations and automation
- Design and optimize data models for content management, learner analytics, and AI experimentation
- Ensure data quality, reliability, and security across all stages of the data lifecycle
- Automate platform operations and deployment workflows to drive efficiency and repeatability
- Collaborate cross-functionally with content creators, product managers, and data scientists to deliver impactful learner experiences
- Champion best practices in data engineering, code quality, and documentation
- Participate in knowledge sharing, learning sessions, and team rituals, helping us all grow together
You have:
- Expertise in Python for building robust, maintainable data solutions
- Hands-on experience working with Data Lake and Lakehouse platform (preferably Databricks), including processing frameworks like Apache Spark and open table formats such as Delta Lake (or Iceberg)
- Strong proficiency with Airflow for orchestrating complex data workflows
- Experience in deploying and operationalizing AI/ML models in production, ideally including hands-on work with OpenAI APIs or similar large language models (LLMs)
- Solid understanding of cloud data architectures, especially on AWS
- Commitment to high standards in code, data quality, and engineering practices
- Excellent communication skills in English, both written and spoken
Nice to Have:
- Experience with content management systems or personalization engines
- Data engineering experience, ideally in a product or content-driven environment
- Familiarity with dbt, Terraform, and CI/CD pipelines
- A passion for language learning or educational technology
- Experience working in fast-paced, cross-functional teams
Some perks of becoming a Babbelonian:
- Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
- Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms.
- Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel.
- Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.
- Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events.
Diversity at Babbel
As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture AWS CI/CD Databricks Data pipelines Data quality dbt Engineering LLMs Machine Learning ML models OpenAI Pipelines Python Security Spark Terraform
Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Team events
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